AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 478 · 40 questions

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

1. 1.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
2. 2.Which of these is a prediction? (a) labelled fruit photos (b) flagging a new email (c) the learned patterns (d) past weather records
3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
4. 4.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
6. 6.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
7. 7.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
8. 8.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) labelled fruit photos (d) recorded spoken words
9. 9.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) the learned patterns (d) typing a new spoken word
10. 10.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
11. 11.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
12. 12.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
13. 13.True or false: “old emails marked spam” is training data. (a) False (b) True
14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
15. 15.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) flagging a new email (d) 500 labelled leaf photos
16. 16.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
17. 17.True or false: “flagging a new email” is training data. (a) True (b) False
18. 18.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) typing a new spoken word (d) the learned patterns
19. 19.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
20. 20.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
22. 22.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) the trained program (d) tomorrow’s rain guess
23. 23.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
24. 24.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
25. 25.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
26. 26.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
27. 27.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) past weather records (d) the learned patterns
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
30. 30.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) naming a new leaf (d) past weather records
31. 31.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
32. 32.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
34. 34.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
35. 35.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
36. 36.True or false: “recorded spoken words” is training data. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
38. 38.Which of these is training data? (a) the trained program (b) naming a new leaf (c) naming a new fruit photo (d) labelled fruit photos
39. 39.True or false: “naming a new fruit photo” is the model. (a) False (b) True
40. 40.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) naming a new fruit photo (d) recorded spoken words

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